Association Between Body Mass Index and Cardiometabolic Risks Among Malay Obese Adults

Daud, Adil; Shahadan, Siti Zuhaidah

doi:10.1177/1054773817724041

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Multiple obesity indices such as body mass index (BMI), waist circumference (WC), body fat per cent (BF%) and waist-to-hip ratio have been widely used to screen individuals for cardiometabolic risk in clinical and research settings12–14 due to their low cost and ease of administration. The performance of anthropometric indices may however vary according to different factors, including ethnicity, age, geographical area and population 13 15.…”

Section: Introductionmentioning

confidence: 99%

Association between cardiometabolic risk factors and body mass index, waist circumferences and body fat in a Zanzibari cross-sectional study

et al. 2019

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ObjectivesTo determine the prevalence of obesity indices (body mass index (BMI), waist circumference (WC), body fat per cent (BF%)) and cardiometabolic risk factors. To investigate the association between obesity indices and cardiometabolic risk factors in a Zanzibari population.DesignsCross-sectional study.SettingsParticipants randomly selected from 80 Shehias (wards) in Unguja, Zanzibar in 2013.ParticipantsA total of 470 participants between 5 and 95 years were examined. Data on socioeconomic status, area of residence, anthropometry and venous blood were collected. Associations between obesity indices and cardiometabolic risk factors were investigated using multilevel logistic regression analyses in two steps: first, each obesity indicator was tested independently; second, all indicators combined in one model were tested for their association with cardiometabolic risk factors.ResultsThe proportion of overweight/obese individuals was 26.4%, high WC (24.9%) and high BF% (31.1%). Cardiometabolic risk factors with highest prevalence of abnormal values included hypertension (24.5%), low high-density lipoprotein cholesterol (HDL-C) (29.4%), high low-density lipoprotein cholesterol (LDL-C) (21.3%) and high glycated haemoglobin (HbA1c) (19.1%). Obesity and hypertension increased with age, and were most prevalent in participants aged 45 years and above. Low HDL-C was most prevalent among participants aged ≥18 to <45 years, while high LDL-C was more prevalent in those above 45 years. High WC and high BF% were associated with high levels of LDL-C (OR=2.52 (95% CI 1.24 to 5.13), OR=1.91 (95% CI 1.02 to 3.58), respectively). Additionally, BMI and WC were associated with high levels of HbA1c (OR=2.08 (95% CI 1.15 to 3.79), OR=3.01 (95% CI 1.51 to 6.03), respectively). In the combined regression model, WC was associated with higher chances for hypertension (OR=2.62 (95% CI 1.14 to 6.06)) and for high levels of HbA1c (OR=2.62 (95% CI 1.12 to 6.15)).ConclusionHigh BMI, WC and BF% were strongly associated with hypertension, with individuals with high WC being twice more likely to have hypertension; this calls for early and effective screening strategies for this study population.

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Section: Introductionmentioning

confidence: 99%

Association between cardiometabolic risk factors and body mass index, waist circumferences and body fat in a Zanzibari cross-sectional study

et al. 2019

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“…BMI has been used to determine obesity in several published research. Recent studies suggest that WC, rather than BMI, should be used to diagnose obesity since central obesity is proving to be a considerably more reliable predictor of cardiovascular risks than BMI-derived broad obesity [ 64 – 69 ].…”

Section: Discussionmentioning

confidence: 99%

Cardiometabolic syndrome in HIV-positive and HIV-negative patients at Zewditu Memorial Hospital, Addis Ababa, Ethiopia: a comparative cohort study

Woldu

Minzi

Shibeshi

et al. 2022

Cardiovascular Endocrinology &Amp; Metabolism

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Background Cardiometabolic syndrome (CMetS) has recently emerged as a serious public health concern, particularly for individuals living with chronic conditions. This study aimed to determine the incidence and prevalence of CMetS, as well as the risk factors linked with it, in HIV-positive and HIV-negative adult patients. Methods A comparative cohort study was designed. The National Cholesterol Education Program (NCEP) and the International Diabetes Federation (IDF) tools were used to determine the outcome variables. Association studies were done using logistic regression. Result CMetS was found to have a greater point and period prevalence, and incidence estimation in HIV-negative than HIV+ patients using both the NCEP and the IDF tools. Using the NCEP tool, the risk of obesity was 44.1% [odds ratio (OR) = 0.559, 95% confidence interval (CI), (0.380–0.824); P = 0.003] lower in HIV+ than in HIV-negative participants. By contrast, no apparent difference was noted using the IDF tool. Similarly, hyperglycemia [OR = 0.651, 95% CI (0.457–0.926); P = 0.017], and hypertension [OR = 0.391, 95% CI (0.271–0.563); P < 0.001] were shown to be lower in HIV+ patients than HIV-negative patients by 34.9% and 60.9%, respectively. The study revealed significant variation in all biomarkers across the follow-up period in both HIV+ and HIV-negative participants, except for SBP. Conclusions CMetS caused more overall disruption in HIV-negative people with chronic diseases than in HIV-positive people. All of the indicators used to assess the increased risk of CMetS were equally meaningful in HIV+ and HIV-negative subjects.

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“…Biomarkers can take many forms from serum blood levels to imaging or paper and pencil self-report questionnaires. The most biomarker laden study in this special issue is the study addressing body mass indexes (BMI) and cardiometabolic risk in Malay obese adults (Daud & Shahadan, 2019). In this study, they analyzed serum glucose, total cholesterol, lipids, and C-reactive protein levels as well as waist circumference, systolic and diastolic blood pressure, and calculated each participant’s BMI.…”

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confidence: 99%

Special Issue: Nursing Research Advancing Cardiac Care

Cacchione¹

2019

Clin Nurs Res

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Association Between Body Mass Index and Cardiometabolic Risks Among Malay Obese Adults

Cited by 3 publications

References 16 publications

Association between cardiometabolic risk factors and body mass index, waist circumferences and body fat in a Zanzibari cross-sectional study

Association between cardiometabolic risk factors and body mass index, waist circumferences and body fat in a Zanzibari cross-sectional study

Cardiometabolic syndrome in HIV-positive and HIV-negative patients at Zewditu Memorial Hospital, Addis Ababa, Ethiopia: a comparative cohort study

Special Issue: Nursing Research Advancing Cardiac Care

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